Introduction to JEBS Special Issue on Diagnostic Statistical Models

IF 1.9 3区心理学 Q2 EDUCATION & EDUCATIONAL RESEARCH

Journal of Educational and Behavioral Statistics Pub Date : 2023-10-26 DOI:10.3102/10769986231210002

Steven Andrew Culpepper, Gongjun Xu

引用次数: 0

Abstract

The COVID-19 pandemic forced millions of students to transition from traditional in-person instruction into a learning environment that incorporates facets of social distancing and online education (National Center for Education Statistics, 2022). One consequence is that the massive disruption of the COVID-19 health crisis is related to the largest declines in elementary and secondary students’ educational achievement as inferred from recent results of the National Assessment of Educational Progress long-term trend (U.S. Department of Education, 2022). Accordingly, recent events have raised awareness of the need for robust formative assessments to accelerate learning and improve educational and behavioral outcomes. The

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关于诊断统计模型的JEBS特刊介绍

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来源期刊

Journal of Educational and Behavioral Statistics Multiple-

CiteScore

4.40

自引率

4.20%

发文量

期刊介绍： Journal of Educational and Behavioral Statistics, sponsored jointly by the American Educational Research Association and the American Statistical Association, publishes articles that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also of interest. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority. The Journal of Educational and Behavioral Statistics provides an outlet for papers that are original and provide methods that are useful to those studying problems and issues in educational or behavioral research. Typical papers introduce new methods of analysis, provide properties of these methods, and an example of use in education or behavioral research. Critical reviews of current practice, tutorial presentations of less well known methods, and novel applications of already-known methods are also sometimes accepted. Papers discussing statistical techniques without specific educational or behavioral interest or focusing on substantive results without developing new statistical methods or models or making novel use of existing methods have lower priority. Simulation studies, either to demonstrate properties of an existing method or to compare several existing methods (without providing a new method), also have low priority.